```test_Datatest_Data
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cbook
from matplotlib import cm
from matplotlib.colors import LightSource
import matplotlib.pyplot as plt
import numpy as np
input_file = "C:\Users\wql\Desktop\Test_Data.txt"
data_total = []
with open(input_file) as file_object:
for line in file_object:
line_data = line.split()
for data in line_data:
data_total.append(float(data))
x = data_total[0::3]
y = data_total[1::3]
z = data_total[2::3]
x = np.linspace(['xmin'], ['xmax'],100)
y = np.linspace(['ymin'], ['ymax'],100)
z1=z[1::2]
z2=z[2::2]
x, y = np.meshgrid(x, y)
region = np.s_[5:55, 5:55]
x, y, z = x[region], y[region], z[region]
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
ls = LightSource(270, 45)
rgb = ls.shade(z, cmap=cm.gist_earth, vert_exag=0.1, blend_mode='soft')
surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=rgb,
linewidth=0, antialiased=False, shade=False)
plt.show()
